Table 1. Environmental and anthropogenic variables used in the logistic regression model.

Environmental Variables	Rationale
Mean Annual Precipitation	Precipitation has been shown to be associated with the distribution of the bacterium and seasonal outbreak events.
Elevation	Low lying elevations may act as storage areas for the pathogen as a result of surface runoff from storms.
Mean Mid Infra-Red Reflectance	Soil moisture is suggested to be associated with the presence of the bacterium.
Mean Land Surface Temperature	The bacterium prefers a temperature range between 18° and 39°C.
Minimum Soil pH	Alkaline soils with a pH>6.0 are considered favorable for the pathogen.
Anthropogenic Variables
Cattle Density	Areas with higher cattle density would likely have more agriculture and a greater chance of coming into contact with infected animals.
Urban/Rural	Rural areas often experience a higher burden of disease due to the frequency of peridomestic living arrangements.
Travel Time to City >50,000	Longer travel times are more indicative of rural areas and higher agricultural intensity.
Population Density	Lower population density may be associated with rural areas and agricultural production.